Details of talk
|Title||Conditional selection for overlap and rotation control|
|Presenter||Claire Clarke (Australian Bureau of Statistics)|
Many statistical agencies face the problem of how to minimise respondent burden whilst selecting representative samples for many surveys. Conditional selection is an extension of a method first proposed by Keyfitz (1951). It manages overlap control and rotation in panel surveys through the retention of selection histories. We will give a brief overview of the method and describe some recent innovations, such as an extension to two stage sampling.
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